Daphne Yao, an assistant professor of computer science at Virginia Tech, along with her former student, now computer science graduate student at Stanford University, Deian Stefan, have won the best paper award at the CollaborateCom 2010 International Conference on Collaborative Computing. The paper look at authentication software designed to better tell humans from bots, according to a Phys Org article.
The software uses a biometric mode called keystroke dynamics. This biometrics states that how a user types is unique to each person.
The kind of attacks the software, called Telling Human and Bot Apart (TUBA), focuses on synthetic forgery attacks. Essentially, in TUBA’s finding malware attacks on computers via keystroke dynamics it simply looks for unrecognizable biometric patterns on the computer and halts the activity.
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